Kan Exp1 Accuracy data codebook

Set options

knitr::opts_chunk$set(
  warning = FALSE, # show warnings during codebook generation
  message = FALSE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Prepare codebook

library(codebook)
library(labelled)

# Load data
codebook_data <- vroom::vroom(here::here("Data/Processed/Exp1/Kan_Processed_Exp1_Main_Acc_data.tsv"))

# Label variables
var_label(codebook_data$participant_id) <- "Unique identifier of the participant"
var_label(codebook_data$lab) <- "Unique identifier of the data collection site"
var_label(codebook_data$trial_id) <- "Unique identifier of a trial"
var_label(codebook_data$stim_type) <- "Congruency of the Stroop trial"
var_label(codebook_data$stimulus) <- "Word of the Stroop trial"
var_label(codebook_data$stim_color) <- "Ink of the Stroop trial"
var_label(codebook_data$response_time) <- "Response time to the Stroop trial in milliseconds"
var_label(codebook_data$is_previous_congruent) <- "Congruency of the previous trial"
var_label(codebook_data$is_congruent) <- "Congruency of the Stroop trial"
var_label(codebook_data$is_correct) <- "Correctness of the Stroop trial"

Create codebook

codebook(codebook_data)

Metadata

Description

Dataset name: codebook_data

The dataset has N=5544 rows and 10 columns. 5544 rows have no missing values on any column.

Metadata for search engines

• Date published: 2021-01-28

x participant_id lab trial_id stim_type stimulus stim_color response_time is_previous_congruent is_congruent is_correct

#Variables

participant_id

Unique identifier of the participant

Distribution

Distribution of values for participant_id

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
participant_id	Unique identifier of the participant	numeric	0	1	109	2051	3054	1913.189	708.1177	<U+2581><U+2585><U+2581><U+2587><U+2583>

lab

Unique identifier of the data collection site

Distribution

Distribution of values for lab

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
lab	Unique identifier of the data collection site	character	0	1	3	0	4	8	0

trial_id

Unique identifier of a trial

Distribution

Distribution of values for trial_id

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
trial_id	Unique identifier of a trial	numeric	0	1	12	520	1016	510.881	294.809	<U+2586><U+2587><U+2586><U+2586><U+2587>

stim_type

Congruency of the Stroop trial

Distribution

Distribution of values for stim_type

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
stim_type	Congruency of the Stroop trial	character	0	1	2	0	9	11	0

stimulus

Word of the Stroop trial

Distribution

Distribution of values for stimulus

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
stimulus	Word of the Stroop trial	character	0	1	6	0	3	6	0

stim_color

Ink of the Stroop trial

Distribution

Distribution of values for stim_color

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
stim_color	Ink of the Stroop trial	character	0	1	3	0	4	6	0

response_time

Response time to the Stroop trial in milliseconds

Distribution

Distribution of values for response_time

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
response_time	Response time to the Stroop trial in milliseconds	numeric	0	1	7	694	1001	709.0887	164.2068	<U+2581><U+2581><U+2585><U+2587><U+2585>

is_previous_congruent

Congruency of the previous trial

Distribution

Distribution of values for is_previous_congruent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
is_previous_congruent	Congruency of the previous trial	numeric	0	1	0	0.5	1	0.5	0.5000451	<U+2587><U+2581><U+2581><U+2581><U+2587>

is_congruent

Congruency of the Stroop trial

Distribution

Distribution of values for is_congruent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
is_congruent	Congruency of the Stroop trial	numeric	0	1	0	0	1	0.4761905	0.4994778	<U+2587><U+2581><U+2581><U+2581><U+2587>

is_correct

Correctness of the Stroop trial

Distribution

Distribution of values for is_correct

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
is_correct	Correctness of the Stroop trial	numeric	0	1	0	1	1	0.8546176	0.3525178	<U+2582><U+2581><U+2581><U+2581><U+2587>

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "codebook_data",
  "datePublished": "2021-01-28",
  "description": "The dataset has N=5544 rows and 10 columns.\n5544 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name                  |label                                             | n_missing|\n|:---------------------|:-------------------------------------------------|---------:|\n|participant_id        |Unique identifier of the participant              |         0|\n|lab                   |Unique identifier of the data collection site     |         0|\n|trial_id              |Unique identifier of a trial                      |         0|\n|stim_type             |Congruency of the Stroop trial                    |         0|\n|stimulus              |Word of the Stroop trial                          |         0|\n|stim_color            |Ink of the Stroop trial                           |         0|\n|response_time         |Response time to the Stroop trial in milliseconds |         0|\n|is_previous_congruent |Congruency of the previous trial                  |         0|\n|is_congruent          |Congruency of the Stroop trial                    |         0|\n|is_correct            |Correctness of the Stroop trial                   |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["participant_id", "lab", "trial_id", "stim_type", "stimulus", "stim_color", "response_time", "is_previous_congruent", "is_congruent", "is_correct"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "participant_id",
      "description": "Unique identifier of the participant",
      "@type": "propertyValue"
    },
    {
      "name": "lab",
      "description": "Unique identifier of the data collection site",
      "@type": "propertyValue"
    },
    {
      "name": "trial_id",
      "description": "Unique identifier of a trial",
      "@type": "propertyValue"
    },
    {
      "name": "stim_type",
      "description": "Congruency of the Stroop trial",
      "@type": "propertyValue"
    },
    {
      "name": "stimulus",
      "description": "Word of the Stroop trial",
      "@type": "propertyValue"
    },
    {
      "name": "stim_color",
      "description": "Ink of the Stroop trial",
      "@type": "propertyValue"
    },
    {
      "name": "response_time",
      "description": "Response time to the Stroop trial in milliseconds",
      "@type": "propertyValue"
    },
    {
      "name": "is_previous_congruent",
      "description": "Congruency of the previous trial",
      "@type": "propertyValue"
    },
    {
      "name": "is_congruent",
      "description": "Congruency of the Stroop trial",
      "@type": "propertyValue"
    },
    {
      "name": "is_correct",
      "description": "Correctness of the Stroop trial",
      "@type": "propertyValue"
    }
  ]
}`